How to connect Google Meet and Microsoft SQL Server
Create a New Scenario to Connect Google Meet and Microsoft SQL Server
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Meet, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Meet or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Google Meet or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the Google Meet Node
Select the Google Meet node from the app selection panel on the right.

Google Meet
Configure the Google Meet
Click on the Google Meet node to configure it. You can modify the Google Meet URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft SQL Server Node
Next, click the plus (+) icon on the Google Meet node, select Microsoft SQL Server from the list of available apps, and choose the action you need from the list of nodes within Microsoft SQL Server.

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Authenticate Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Configure the Google Meet and Microsoft SQL Server Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Meet and Microsoft SQL Server Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Meet, Microsoft SQL Server, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Meet and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Google Meet and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Meet and Microsoft SQL Server
Google Meet + Microsoft SQL Server + Slack: When a Google Meet event ends, the workflow identifies participants. The workflow then queries the SQL Server database to check if a participant is marked as absent. If so, a customized Slack message is sent to the user.
Microsoft SQL Server + Google Meet + Google Calendar: New or updated rows in Microsoft SQL Server, containing meeting details, trigger the creation of a Google Meet meeting. Subsequently, a corresponding event is added to Google Calendar to reflect this new meeting.
Google Meet and Microsoft SQL Server integration alternatives
About Google Meet
Automate Google Meet within Latenode workflows. Schedule meetings based on triggers, automatically generate invites after form submissions, or record & transcribe calls, saving time and ensuring consistent follow-up. Connect Meet to CRMs or project tools for streamlined task management. Simplify repetitive scheduling and meeting-related tasks.
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About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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See how Latenode works
FAQ Google Meet and Microsoft SQL Server
How can I connect my Google Meet account to Microsoft SQL Server using Latenode?
To connect your Google Meet account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Meet and click on "Connect".
- Authenticate your Google Meet and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically log meeting attendance in SQL Server?
Yes, you can! Latenode's visual editor makes automating this simple. Automatically update your SQL Server database with attendee details after each Google Meet session. Improve data accuracy and save time.
What types of tasks can I perform by integrating Google Meet with Microsoft SQL Server?
Integrating Google Meet with Microsoft SQL Server allows you to perform various tasks, including:
- Log meeting start and end times in a database.
- Create new SQL Server records for each Google Meet participant.
- Generate reports on meeting attendance using SQL Server data.
- Send automated email follow-ups based on meeting data.
- Archive meeting recordings and related data in SQL Server.
How secure is my Google Meet data when using Latenode integrations?
Latenode employs robust security measures, including encryption and access controls, to protect your Google Meet data during integration and workflow execution.
Are there any limitations to the Google Meet and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers might experience delays depending on server load.
- Complex SQL queries may require advanced JavaScript knowledge.
- Real-time data synchronization has a short delay, not instant updates.